get_pooled_data: Generate pooled data for pharmacokinetic analysis

In nlmixr2autoinit: Automatic Generation of Initial Estimates for Population Pharmacokinetic Modeling

Generate pooled data for pharmacokinetic analysis

Description

Processes pharmacokinetic data and produces pooled datasets according to the dosing context. Data can be grouped based on first dose, repeated dosing, or a combination of both, with control over binning and time alignment.

Usage

get_pooled_data(
  dat,
  dose_type = c("first_dose", "repeated_doses", "combined_doses"),
  pooled_ctrl = pooled_control()
)

Arguments

dat	A data frame containing raw time–concentration data in the standard nlmixr2 format.
dose_type	Specifies the dosing context of the pharmacokinetic observations. Classified as: first_dose: data include only observations following the initial administration repeated_doses: data include only observations during repeated or steady-state dosing combined_doses: data include observations from both first-dose and repeated-dose intervals
pooled_ctrl	A list of control parameters created by 'pooled_control', including settings for binning and time rounding.

Details

For repeated-doses and combined-doses classifications, the most common interdose interval is identified from dosing records and used to determine whether observations fall within the relevant interval. If tad_rounding is TRUE, both time after dose and dosing interval are rounded before comparison.

Value

A list containing pooled pharmacokinetic datasets depending on the specified dose type:

• datpooled_fd: pooled data for first-dose observations

• datpooled_efd: pooled data for repeated dosing

• datpooled_all: pooled data combining first-dose and repeated-dose observations

Author(s)

Zhonghui Huang

See Also

pooled_control, trimmed_geom_mean

Examples

dat <- processData(Bolus_1CPT)$dat
get_pooled_data(dat, dose_type = "combined_doses")

nlmixr2autoinit documentation built on Nov. 14, 2025, 1:07 a.m.